RETRACTED ARTICLE: Virtual image recognition in aerobics exercise posture based on wearable light sensing devices

Aerobics is a form of exercise widely used in health and beauty. Correct posture is the key factor to the effectiveness of aerobics. However, the existing aerobics teaching is often limited by manual judgment and guidance, so a more effective, accurate and real-time posture recognition method is needed. Therefore, this study aims to develop a virtual image technology based on wearable light sensing devices for real-time and accurate aerobics pose recognition. By combining optical principle and image processing technology, we hope to provide an aerobics posture recognition scheme that does not rely on manual judgment. A wearable optical sensor is designed to capture the dynamic posture of aerobics athletes. The device will be able to obtain real-time key point information for athletes. Then, by applying optical principle and image processing technology, the captured node information is converted into virtual image. Finally, computer vision algorithm is used to analyze and compare virtual images to realize posture recognition. After testing and analysis, the system can realize high precision aerobics posture recognition. Compared with the traditional manual judgment, the proposed method has higher accuracy and real-time performance, and can automatically provide feedback and guidance to help athletes improve their posture.